Announcements

Microsoft and AWS Partner on Azure Multicloud Interconnect

Microsoft Azure and AWS have announced a joint networking solution enabling dedicated, private cross-cloud connectivity via Open API standards.

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AIDeveloper44 Team
September 8, 2026·4 min read
Microsoft and AWS Partner on Azure Multicloud Interconnect

Azure Multicloud Interconnect provides dedicated, private networking between Microsoft Azure and AWS environments.

TL;DR
  • Microsoft Azure and AWS have introduced an interoperable multicloud networking capability using Open API specifications.
  • The solution integrates Azure Multicloud Interconnect with AWS Interconnect to establish dedicated, private cross-cloud links.
  • The architecture supports Azure Private Link, built-in MACsec encryption, and four-nines availability to simplify distributed data and AI workloads.

Direct Cross-Cloud Networking via Open API Standards

Microsoft Azure and Amazon Web Services (AWS) have announced a collaborative networking capability designed to simplify private network connectivity between the two cloud platforms. Detailed in an official announcement by Narayan Annamalai, VP and Head of Products for Azure Networking Services, the initiative combines Azure Multicloud Interconnect with AWS Interconnect – multicloud.

Historically, establishing private, high-bandwidth interconnects between competing hyperscalers required organizations to provision dedicated physical circuits, configure complex BGP routing tables, deploy third-party colocation facilities, and manage distinct operational and support workflows across providers. This operational overhead often extended deployment timelines to several weeks or months. By implementing standardized Open API specifications for network interoperability, the two cloud providers have automated cross-platform provisioning, allowing organizations to configure dedicated links natively through existing cloud management interfaces.

Addressing the Networking Requirements of Distributed AI

The joint architecture is structured to accommodate modern enterprise workloads, particularly artificial intelligence training and inference pipelines. In multicloud enterprise architectures, proprietary data assets, compute clusters, and operational databases are frequently spread across diverse platforms. AI pipelines that ingest, prepare, and train on datasets distributed between AWS storage services and Azure compute environments require continuous, predictable, and low-latency transport.

Azure Multicloud Interconnect provides high-capacity private throughput and integrates directly with Azure Private Link. This integration ensures that traffic flowing between Azure services and AWS environments remains on private physical networks, traversing dedicated backbones without exposure to the public internet. Organizations running distributed machine learning models can access isolated endpoints across both clouds while maintaining uniform network boundaries and compliance standards.

Enterprise Security, Redundancy, and Operational Management

Security and reliability represent major criteria for mission-critical cross-cloud links. The native integration between AWS and Azure includes out-of-the-box MACsec (Media Access Control Security) encryption at the physical and data link layers, safeguarding cross-cloud data transfers against eavesdropping and tampering. Furthermore, the underlying infrastructure is engineered to deliver four-nines (99.99%) availability, aligning with enterprise service-level agreements for critical business workloads.

By abstracting manual routing configurations and colocation setups, the system centralizes lifecycle monitoring and management. Customers can scale interconnection bandwidth on demand without redesigning IP topologies or coordinating physical colocation cross-connects. The native API integration provides programmatic visibility into circuit health and link performance, reducing administrative friction for network engineering teams.

Implications for Multicloud Infrastructure Strategies

Multicloud adoption has often been constrained by data transfer friction and operational complexity. While enterprise workloads increasingly span multiple platforms to avoid vendor lock-in or leverage specific managed services, network topologies have remained fragmented. The partnership between Microsoft and AWS demonstrates a pragmatic shift toward interoperability at the infrastructure layer.

Rather than managing distinct colocation agreements and software-defined WAN overlays, organizations can now treat cross-cloud connectivity as a managed cloud primitive. This capability allows IT decision-makers and infrastructure architects to distribute workloads based on business and computational requirements rather than network constraints.

Diagram: Private Multicloud Interconnect Architecture between Azure ExpressRoute and AWS Direct Connect via Open API Standards

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